{"product_id":"practical-statistics-for-data-scientists","title":"Practical Statistics for Data Scientists","description":"\u003cp\u003eThis book offers a practical guide to essential statistical concepts crucial for data science, presenting theory alongside hands-on examples in R and Python. It covers core topics including probability, regression, resampling, machine learning, and data visualization, bridging the gap between statistical principles and their real-world application.\u003c\/p\u003e\u003ch4\u003eWhy You Should Read?\u003c\/h4\u003e\u003cul\u003e\n\u003cli\u003eExplore over 50 essential statistical concepts vital for modern data science applications.\u003c\/li\u003e\n\u003cli\u003eUtilize practical code examples provided in both R and Python for immediate application.\u003c\/li\u003e\n\u003cli\u003eUnderstand complex statistical methods explained clearly, minimizing excessive mathematical theory.\u003c\/li\u003e\n\u003cli\u003eGain insights into best practices, common pitfalls, and accurate interpretation of statistical results.\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"O'Reilly Media","offers":[{"title":"Default Title","offer_id":46042286063869,"sku":"","price":2360.0,"currency_code":"NPR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0484\/4145\/8840\/files\/71ZZIGVGDvL._SL1315.jpg?v=1739711829","url":"https:\/\/biblionepal.com\/ar\/products\/practical-statistics-for-data-scientists","provider":"BIBLIONEPAL","version":"1.0","type":"link"}